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AI & ML Engineering Manager
London
Job No. r00247225
Full-time - Hybrid
Job Description
Role: AI & ML Engineering Manager
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Manager
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO
As a team:
Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world.
You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level.
You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways
If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation.
Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services.
In our team, you will:
How to help clients to use AI/ML technologies to solve business challenges
How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges
The latest technology solutions from industry and academia and how to apply them to solve real world customer problems
As an AI & ML Engineering Manager, you will:
Oversee the development of use-case and platform technology solutions to tackle critical business challenges, using both reference and emerging technologies and engineering patterns.
Lead multi-disciplinary teams to deliver complex solutions from inception to production and operationalization, ensuring alignment with client needs and technical excellence.
Provide strategic and technical leadership, shaping technology roadmaps, mentoring other developers, and fostering team growth.
Play a pivotal role in the Accenture Data & AI community, driving thought leadership by sharing insights and experiences from cutting-edge client projects and research initiatives.
Qualifications
We are looking for significant experience in:
AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases.
Defining and implementing AI/ML architectural patterns and best practices (e.g., data drift detection, experimentation tracking, Retrieval-Augmented Generation (RAG), deployment models).
Designing and deploying robust, scalable, and secure cloud-based solutions (networking, security, storage, monitoring, scaling, disaster recovery/high availability) on one or more cloud platforms.
Software Engineering, DevSecOps, and operational excellence in AI/ML solution delivery.
Set yourself apart:
Proven ability to deliver enterprise-scale AI/ML services that impact end-user experiences and business outcomes.
Certified cloud Machine Learning credentials (e.g., AWS Certified Machine Learning – Specialty).
Demonstrated ability to build proof-of-concepts to validate hypotheses and accelerate learning.
Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade AI/ML solutions.
What’s in it for you
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our +700,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.